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ICJIA R Workshop

Preface

2018-02-13
Bobae Kang
(Bobae.Kang@illinois.gov)

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A brief intro to ...

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Source: r-project.org

What is R?

“R is a language and environment for statistical computing and graphics.” - The R Foundation

  • Built for data analysis and visualization
  • One of the the most popular choices of programming language among academic researchers and data scientists

  • Open source (free!)
  • Built for statistical analysis
  • Reproducible and transparent
  • Extensible through powerful third-party libraries
  • Enabling researchers to tackle a variety of tasks using a single platform

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Source: Time Magazine

Data manipulation

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Source: Wikimedia.org

Data visualization

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Source: Wikimedia.org

Statistical modeling

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Source: pixabay

And more!

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Reports

Slideshow

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Dashboard

Website

Objectives

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Technical objectives

  • Import and manipulate tabular data files using R;
  • Create simple data visualizations to extract insight from data using R;
  • Perform basic statistical analysis using R;
  • Generate a report on a simple data analysis task using R

Fundamental objectives

  • Understand the basic elements of the R programming language;
  • Employ the programmatic approach to research and data analysis projects; and
  • Leverage online resources to find solutions to specific questions on using R for a given task.

Structure

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Overall setup

  • Six modules
  • One module per week
  • Each module consists of two parts
    • except the first module on introduction
  • All workshop materials (slides and notes) will be available
  • I will be available, too, for answering questions

Modules

  1. Introduction to R
  2. R basics
  3. Data analysis in R
  4. Data visualization in R
  5. Statistical modeling in R
  6. Sharing your analysis and more

Questions?

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Source: Giphy.com